Spreadsheet Risks in Banks

No other industry perhaps handles such large volumes of critical financial data more than the banking industry. For decades now, spreadsheets have become permanent fixtures in the front-line reporting tool sets of banks, providing organised information when and where needed.

But as banks enter into a period of heightened credit risks, elevated levels of fraud, and greater regulatory scrutiny, many are wondering if continued reliance on spreadsheets is a wise decision for banks today.

The downfall of Lehman Brothers which eventually led to its filing for Chapter 11 bankruptcy protection on September 15, 2008, served as a wake up call for many institutions across the globe to make a serious examination of their own risk management practices. But would these reforms include evaluating the security of user developed applications (UDAs), the most common of which are spreadsheets, and putting specific guidelines as to when they can – or cannot be – used?

Banks and Spreadsheet Use

Banks have been known to utilise spreadsheets systems for many critical functions because most personnel are well-acquainted with them, and the freedom of being able to develop customised reports without needing to consult with the IT department offers flexibility and convenience. In fact, more than having a way to do financial budgeting and analysing customer profitability, even loan officers and trade managers have become reliant on spreadsheets for risk management reporting and for making underwriting decisions.

But there are more than a few drawbacks to using spreadsheets for these tasks, and the sooner bank executives realise these, the sooner they can adopt better solutions.

General Limitations

Spreadsheets are far from being data base systems and yet more often than not, they are expected to act as such, with figures constantly added and formulas edited to produce the presumably right set of reports.

In addition, data integrity is always a cause for concern as most values in spreadsheets are entered as manual inputs. Even the mere misplacement of a comma or a negative sign, or an inadvertent ?edit? to a formula can also be a source of significant changes in the outcome.

Confidentiality risk is also another drawback of the use of spreadsheets in banks as these tools do not have adequate?access controls to limit access to only authorised individuals. Pertinent financial information that fall into the wrong hands can lead to a whole new set of problems including the possibility of fraud.

Risks in Trading

For trading transactions, spreadsheets can prove to be of immense use – but only for small market volumes. As trade volumes increase and the types vary, spreadsheets are no longer a viable solution and may likely become more of a hindrance, with calculations taking longer in the face of bigger transaction amounts and growing transaction data.

And in trading, there is always the need for rigorous computational functions. Computing for the Value at Risk (VaR) for large portfolios for instance, is simply way beyond the capabilities of spreadsheets. Banks that persist in using them are increasing the risk of loss on those portfolios. Or, they can be opening up?opportunities for fraud?as Allied Irish Bank (in the case of John Rusnak – $690 million) learned the hard way.

Risks in Underwriting

Bankers who use spreadsheets as their main source of information for underwriting procedures also face certain limitations. Loan transactions require that borrowers? financial data be centralised and easily accessible to risk officers and lending officers involved in making decisions. With spreadsheets, there is no simple and secure way of doing that. Information can be pulled from different sources – individual tax returns, corporate tax documents, partnership documents, audited financial statements – hence there is difficulty in verifying that these reports adhere to underwriting policies.

Spreadsheet control and monitoring

Financial institutions which are having difficulty weaning themselves from the convenience and simplicity that spreadsheets offer are looking for possible control solutions. Essentially, they want to find ways that allow them to continue using these UDAs and yet somehow eliminate the?spreadsheet risks?and limitations involved.

Still, the debate goes back and forth on whether adequate control measures can be implemented on spreadsheets so that that the risks are mitigated. Many services have come forward to herald innovative solutions for better spreadsheet management. But at the end of the day, there really is no guarantee that such solutions would suffice.

More Spreadsheet Blogs


Spreadsheet Risks in Banks


Top 10 Disadvantages of Spreadsheets


Disadvantages of Spreadsheets – obstacles to compliance in the Healthcare Industry


How Internal Auditors can win the War against Spreadsheet Fraud


Spreadsheet Reporting – No Room in your company in an age of Business Intelligence


Still looking for a Way to Consolidate Excel Spreadsheets?


Disadvantages of Spreadsheets


Spreadsheet woes – ill equipped for an Agile Business Environment


Spreadsheet Fraud


Spreadsheet Woes – Limited features for easy adoption of a control framework


Spreadsheet woes – Burden in SOX Compliance and other Regulations


Spreadsheet Risk Issues


Server Application Solutions – Don’t let Spreadsheets hold your Business back


Why Spreadsheets can send the pillars of Solvency II crashing down

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Total Quality Management

Total Quality Management (TQM) is another business management approach that focuses on the involvement of all members of the organisation to participate in improving processes, products, services, and the culture in which they work in. It is important that every team member realises how each individual and each activity affects, and in turn is affected by, others.

With the use of combined quality and management tools, TQM also aims to reduce losses brought about by wasteful practices, a common concern in most companies. Using the TQM strategy, business would also be able to identify the cause of a defect, thereby preventing it from entering the final product.

Deming’s 14 Points

At the core of the Total Quality Management concept and implementation is Deming’s 14 points, a set of guidelines on quality as conceptualised by W Edwards Deming, one of the pioneers of quality. Deming’s 14 points are as follows:

  1. Create constancy of purpose for improving products and services.
  2. Adopt the new philosophy.
  3. Cease dependence on inspection to achieve quality.
  4. End the practice of awarding business on price alone; instead, minimise total cost by working with a single supplier.
  5. Improve constantly and forever every process for planning, production and service.
  6. Institute training on the job.
  7. Adopt and institute leadership.
  8. Drive out fear.
  9. Break down barriers between staff areas.
  10. Eliminate slogans, exhortations and targets for the workforce.
  11. Eliminate numerical quotas for the workforce and numerical goals for management.
  12. Remove barriers that rob people of pride of workmanship, and eliminate the annual rating or merit system.
  13. Institute a vigorous program of education and self-improvement for everyone.
  14. Put everybody in the company to work accomplishing the transformation.

But if you were to reduce to bare bones the TQM philosophy from Deming’s 14 points, it would all come down to two simple goals:

  1. To make things right the first time; and
  2. To work for continuous improvement.

As with all other quality management process, the end goal is to be able to offer products and services that meet and even exceed customer’s expectations.

Find out more about our Quality Assurance services in the following pages:

The Connection between Big Data and MDM

Master Data is information that is critical to your business. This could include contracts, proprietary information, intellectual capital and a whole lot more besides. Because this often reposes in a variety of different places, you need a master data management / MDM policy to control it. That way, you can link it all together in a single, secure, backed up file.

This Sounds Like Big Data

Not necessarily: big data refers to extremely large data sets that are best stored and analysed on a cloud using big technology, in order to uncover trends, patterns and associations often relating to human behaviour. Of course, if you run a niche restaurant your critical master data might be limited to a few recipes and the books you do not care to show your accountant.

The distinction is largely a question of size: think of your master data as the subset of big data that you already have your mind around. According to John Case of IBM this is probably already in a structured format and available to share. He goes on to present a cogent case for using this as a peg point around which to systematise the rest. This is because the average organisation already has master data recording customers? and prospects? behaviour.

Do I Still Need My Master Data?

Yes you do, because real people created it with the benefit of human insight. Retain it as a separate set. Then compare it with the results of big data processing for even richer insights. Two heads are better that one and that goes for data processing too.

Trends in CRM Big Data

Adding data via location-aware devices like smartphones and tablets is adding a new dimension to customer information. We now know where they were when they made the enquiry or punched in the information. Use this geo-location data to hone the way you interact with customers and service their accounts. Do not phone a customer who makes decisions at work when they are at home.

Does My Master Data Belong on a Cloud?

There are a number of ?ifs? to consider. How comfortable are you with your service provider. What would happen if someone hacked their server? There are many advantages to cloud technology. Denizon knows of solutions you can rely on, and makes sure its clients have contingency plans to protect them at all times.

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How COBIT helps you achieve SOX Compliance

First released way back in 1996, COBIT has already been around for quite a while. One reason why it never took off was because companies were never compelled to use it ? until now. Today, many CEOs and CIOs are finding it to be a vital tool for achieving SOX compliance in IT.

Thanks to SOX, COBIT (Control Objectives for Information and related Technology) is now one of the most widely accepted source of guidance among companies who have IT integrated with their accounting/financial systems. It has also gained general acceptability with third parties and regulators. But how did this happen?

Role of control frameworks in SOX compliance

You see, the Sarbanes-Oxley Act, despite having clearly manifested the urgency of establishing effective internal controls, does not provide a road map for you to follow nor does it specify a yardstick to help you determine whether an acceptable mileage in the right direction has already been achieved.

In other words, if you were a CIO and you wanted to find guidance on what steps you had to take to achieve compliance, you wouldn’t be able to find the answers in the legislation itself.

That can be a big problem. Two of your main SOX compliance obligations as a CEO or CIO is to assume responsibility in establishing internal controls over financial reporting and to certify their effectiveness. After that, the external auditors are supposed to attest to your assertions. Obviously, there has to be a well-defined basis before you can make such assertions and auditors can attest to anything.

In the language of auditors, this ?well-defined basis? is known as a control framework. Simply put, once you certify the presence of adequate internal controls in your organisation, the external auditor will ask, ?What control framework did you use??

Knowing what control framework you employed will help external auditors determine how to proceed with their evaluations and tests. For your part, a control framework can serve as a guide to help you work towards specific objectives for achieving compliance. Both of you can use it as a common reference point before drawing any conclusions regarding your controls.

But there are many control frameworks out there. What should you use?

How SOX, COSO, and COBIT fit together

Fortunately, despite SOX?s silence regarding control frameworks, you aren’t left entirely to your own devices. You could actually take a hint from the SEC and PCAOB, two of the lead organisations responsible for implementing SOX. SEC and PCAOB point to the adoption of any widely accepted control framework.

In this regard, they both highly endorse COSO, a well-established internal control framework formulated by the Committee of Sponsoring Organisations of the Treadway Commission (COSO). Now, I must tell you, if you’re looking specifically for instructions pertaining to IT controls, you won’t find those in COSO either.

Although COSO is the most established control framework for enterprise governance and risk management you’ll ever find (and in fact, it’s what we recommend for your general accounting processes), it lacks many IT-related details. What is therefore needed for your IT processes is a framework that, in addition to being highly aligned with COSO, also provides more detailed considerations for IT.

This is where COBIT fits the bill.

How COBIT can contribute to your regulatory compliance endeavors

COBIT builds upon and adheres with COSO while providing a finer grain of detail focused on IT. You can even find a mapping between COBIT IT processes and COSO components within the COBIT document itself.

Designed with regulatory compliance in mind, COBIT lays down a clear path for developing policies and good practice for IT control, thus enabling you to bridge the gap between control requirements, technical issues, and business risks.

Some of the components you’ll find in COBIT include:

IT control objectives

These are statements defining specific desired results that, as a whole, characterise a well-managed IT process. They come in two forms for each COBIT-defined IT process: a high-level control objective and a number of detailed control objectives. These objectives will enable you to have a sense of direction by telling you exactly what you need to aim for.

Maturity models

These are used as benchmarks that give you a relative measurement stating where your level of management or control over an IT process or high-level control objective stands. It serves as a basis for setting as-is and to-be positions and enables support for gap analysis, which determines what needs to be done to achieve a chosen level. Basically, if a control objective points you to a direction, then its corresponding maturity model tells you how far in that direction you’ve gone.

RACI charts

These charts tell you who (e.g. CEO, CFO, Head of Operations, Head of IT Administration) should be Responsible, Accountable, Consulted, and Informed for each activity.

Goals and Metrics

These are sets of goals along with the corresponding metrics that allow you to measure against those goals. Goals and metrics are defined in three levels: IT goals and metrics, which define what business expects from IT; process goals and metrics, which define what the IT process should deliver to support It’s objectives; and activity goals and metrics, which measure how well the process is performing.

In addition to those, you’ll also find mappings of each process to the information criteria involved, IT resources that need to be leveraged, and the governance focus areas that are affected.

Everything is presented in a logical and manageable structure, so that you can easily draw connections between IT processes and business goals, which will in turn help you decide what appropriate governance and control is needed. Ultimately, COBIT can equip you with the right tools to maintain a cost-benefit balance as you work towards achieving SOX compliance.

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